Commercial Analytics & Insights Senior Analyst At Zimmer Biomet

Zimmer Biomet; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

Zimmer Biomet is seeking a Commercial Analytics professional to drive predictive modeling and territory analytics in a fast-paced environment. You will develop models for sales performance, target segmentation, and market opportunity sizing, while building auditable data pipelines.

The role requires 4–7+ years in analytics, strong Python/R and SQL, and expertise in Power BI. You will collaborate with sales leadership and IT to deliver governance, dashboards, and actionable insights.

Qualificações

• 4–7+ years of experience in commercial analytics, sales operations, or data science.
• Proven experience applying predictive modeling to commercial problems.
• Strong programming in Python or R and advanced SQL.
• Excellent Power BI skills and data governance familiarity.

Responsabilidades

• Design, build, validate predictive models for sales and market sizing.
• Develop territory alignment, call plan optimization, and segmentation models.
• Write production-grade pipelines in Python/R and SQL.
• Own dashboards and reporting for field and leadership visibility (Power BI).
• Analyze CRM, activity, market share, and sales data to surface trends.
• Support incentive compensation design and payout modeling.
• Translate business questions into structured analyses and recommendations.
• Present findings to sales leadership and executives in decision-ready format.
• Track model performance post-launch and improve as data evolve.

Conhecimentos

Predictive modeling

Python/R

SQL

Power BI

Data visualization

Sales analytics

Territory analytics

Formação académica

Bachelor's in Statistics/Data Science/Analytics

Master's degree a plus

Ferramentas

Salesforce

SAP data

Power BI

Descrição da oferta de emprego

What You Can Expect

Full time on site position offers great opportunities for career growth. At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient's mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds. As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.

Key Responsibilities

Commercial Analytics & Predictive Modeling

• Design, build, and validate predictive models (regression, classification, and time-series forecasting) for sales performance, account targeting, and market opportunity sizing — with a focus on accuracy, interpretability, and real-world business adoption
• Develop territory alignment, call plan optimization, and segmentation/targeting models
• Write production-quality Python/R and SQL to build repeatable, auditable pipelines — not one-off spreadsheets
• Own commercial dashboards and reporting (Power BI) for field and leadership visibility
• Analyze CRM, call activity, market share, and sales data to surface trends, whitespace, and risk
• Support incentive compensation design: quota setting, payout modeling, scenario analysis
• Translate ambiguous business questions ("why is Region X underperforming?") into structured analysis and clear recommendations
• Present findings to sales leadership and executives in decision-ready format
• Track and continuously improve model performance post-launch (e.g., forecast accuracy, IC plan effectiveness), iterating as new data and market conditions emerge

Customer Segmentation

• Build and refine segmentation models based on value and potential drivers
• Ensure methodology stays aligned with commercial strategy and field execution
• Support segmentation's use in planning, targeting, and go-to-market decisions
• Review and evolve segmentation logic based on market and performance feedback

Territory Analytics & Go-to-Market effectiveness

• Model territory optimization and coverage effectiveness
• Provide data-driven input to territory design and organizational change discussions

Commercial Excellence Process Support

• Provide analytical input to territory mapping, target setting, and incentive-related processes
• Ensure accuracy, timeliness, and governance alignment of analytical inputs
• Support cross-functional planning and performance cycles

Data Governance & Reporting

• Maintain accuracy and reliability of dashboards, scorecards, and reports
• Build and strengthen data quality checks, validation, and reconciliation routines
• Partner with IT/data teams on pipeline reliability
• Investigate data issues and drive corrective action
• Enablement & Adoption: Improve self-service analytical tools for commercial teams
• Drive adoption through training and stakeholder engagement
• Build data literacy across the commercial organization

What Makes You Stand Out

Experience

• Experience 4–7+ years in commercial analytics, sales operations, or data science, ideally in med tech, pharma, or healthcare
• Proven experience with predictive modeling (regression, classification, forecasting) applied to commercial problems

Technical Skills

• Strong Python or R for statistical modeling; advanced SQL for large datasets
• Strong Power BI skills; familiarity with Salesforce and SAP Data validation, reporting governance, and dashboard quality management

Your Background Education

• Bachelor's degree in Statistics, Data Science, Economics, Business Analytics, or related quantitative field (Master's a plus)
• Technical Skills Strong Python or R for statistical modeling; advanced SQL for large datasets Strong Power BI skills; familiarity with Salesforce and SAP Data validation, reporting governance, and dashboard quality management

Other

• Strong written and verbal English
• Excellent stakeholder communication and storytelling with data
• High ownership, attention to detail, and organizational rigor

People leadership

• People leadership: coaching, development, team motivation
• Collaborative, pragmatic, business-oriented mindset